GeoIntelligence Use Cases for Insurance

Gain a unified view of multiple natural hazards combined with your portfolio data for comprehensive risk understanding. This integration helps identify coverage gaps, ensures resilience, and supports climate adaptation strategies.

Leverage high-resolution, multi-source flood hazard data and property-level insights to underwrite and price more precisely. Dynamic flood risk profiles reduce unexpected losses, enable new products in underserved markets, and support rigorous regulatory stress tests.

Harness predicted fire probabilities with near-real-time satellite monitoring to manage wildfire exposure dynamically. Enable agile underwriting rules, rapid claims assessment, and active portfolio risk mitigation in fire-prone areas.

Integrate seismic hazard maps, building vulnerability assessments, and parametric triggers to quantify earthquake exposure and facilitate rapid post-event liquidity. Support compliance with regulatory requirements and optimize reinsurance buying with advanced risk analytics.

Simulate complex interdependencies across floods, wildfires, hurricanes, and more using scenario testing. Adapt your portfolio and product strategy to evolving climate risks with comprehensive, multi-hazard intelligence.

Accelerate claims handling with near-real-time satellite and Earth observation data that detect flood depths, fire damage, and property impacts within hours of an event. Enhance fraud detection and improve customer experience through faster payouts.

Transform risk response with hazard forecasting and early warning systems that anticipate floods, fires, and other threats days in advance. Empower preparation and risk mitigation by issuing customer alerts and adjusting underwriting accordingly.

Maintain live situational awareness with frequent updates on flood progression, wildfire spread, and storm impacts. Activate parametric triggers, quantify portfolio impacts, and optimize reinsurance strategies in real time, enabling faster decisions and stronger capital management.

Integrate agricultural, environmental, and infrastructure datasets into a unified view, enabling innovative solutions in agriculture and marine sectors. By combining short-term event intelligence with long-term climate monitoring, insurers can expand specialty market coverage and align strategies with global climate resilience goals.

Employ CRESTA boundaries to standardize exposure aggregation, enhance catastrophe modeling, and meet regulatory requirements. Use CRESTA overlays to improve pricing discipline, claims prioritization, and strategic portfolio planning.

Integrate political risk datasets and conflict indicators into underwriting and real-time portfolio monitoring. Anticipate instability impacts on assets, supply chains, and personnel to reduce losses and strengthen operational resilience.

Turn raw internal data into actionable insight through automated cleansing and advanced enrichment. Strengthen underwriting precision, optimize claims management, detect fraud, and predict risk trends across all lines of business.

Utilize postal code boundary data to streamline territory planning, pricing, risk screening, and marketing. Combine with demographic and hazard layers to enhance portfolio management, regulatory compliance, and fraud detection.

Leverage granular demographic data mapped to geographic units to design targeted products, pre-screen high-risk segments, and optimize marketing strategies. Improve claims handling and fraud detection by understanding socio-economic influences on risk behavior.

Meet evolving regulatory standards and transparency requirements with built-in workflows for Solvency II, IFRS17, VAIT, and DORA. Automate audit trails, stress testing, and reporting to minimize compliance risk and support strategic decision-making.